Grain Drying System

Abstract

The challenge is to ensure sufficient data management in grain drying facilities. [Solution] reading a container number provided on a container that contains the received grain, and creating a receiving number by combining the container number with the time when the container was received; The data of the drying operation by the dryer is additionally registered in chronological order to the receiving number to be used as a data group for management. The management data group is used to manage data on the grain for each container, The data log output from the controller of the dryer as the drying operation data is read using data log reading software. A grain drying system characterized in that the drying operation data in the form of the data log is additionally registered to the consignment number to generate a management data group.

Description

[Technical Field]

[0001] The present invention relates to a method for utilizing and evaluating data from a grain drying facility. [Background technology]

[0002] In grain drying and processing facilities, even if data is automatically acquired from the dryer, huller / sorter, color sorter, taste meter (registered trademark), and the process of discharging data into the brown rice tank, the relationship between this data and the received grain is manually entered, so data management may not be sufficient.The reasons behind this problem include the inability to automatically identify the received grain, the different data formats for drying and processing machines from various manufacturers, and the lack of data compatibility between new and old machines even from the same manufacturer. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2019-87274 Summary of the Invention [Problem to be solved by the invention]

[0004] The challenge is to ensure sufficient data management in grain drying facilities. [Means for solving the problem]

[0005] The present invention is solved by the following technical means.

[0006] reading a container number provided on a container that contains the received grain, and creating a receiving number by combining the container number with the time when the container was received; The data of the drying operation by the dryer is additionally registered in chronological order to the receiving number to be used as a data group for management. The management data group is used to manage data on the grain for each container, The data log output from the controller of the dryer as the drying operation data is read using data log reading software. The grain drying system is characterized in that the drying operation data in the form of the data log is additionally registered with the consignment number to generate a management data group. [Effects of the Invention]

[0007] The present invention allows for sufficient data management in grain drying facilities. [Brief explanation of the drawings]

[0008] [Figure 1] Schematic diagram of a drying and preparation facility according to an embodiment of the present invention. [Figure 2] Data communication diagram between the user's mobile device, cloud server, and WAGRI [Figure 3] Cloud server, authentication flow to the central terminal and data communication diagram [Figure 4] Drawing of receipt number [Figure 5] Distribution of green rice on the sorting plate of a rice huller [Figure 6] Data layout diagram for registering open API-compatible data to a receiving number [Figure 7] Data layout diagram for registering data that is not compatible with the open API to a receiving number [Figure 8] Examples of using work process data 36A [Figure 9] Schematic diagram of receiving goods at a drying and preparation facility according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0009] The present invention will be described below with reference to the embodiments shown in the drawings.

[0010] The drying and processing facility shown in Figure 1 is equipped with a grain circulation dryer 1 (hereinafter referred to as the dryer) and a rice huller 2, and is responsible for receiving, drying, hulling, sorting, and polishing grain. Dryer 1 has a tank 1A above for storing grain, a drying chamber 1B below, a combustion unit 1C on one side of this drying chamber, and a blower fan 1D on the other side through the drying chamber. Conveyors are provided above and below to circulate the grain between the drying chamber and the tank, and these are connected by an elevator 1E. The elevator is equipped with an automatic moisture meter 1F, which periodically measures the moisture content of the circulating grain.

[0011] The rice huller 2 removes the husks from the dried rice grains by the difference in rotation of rotating rubber rolls or by the impact of centrifugal force, and separates the brown rice from the husks by the movement and wind sorting of the sorting plate 2A equipped with many special holes.

[0012] Below is a brief explanation of the equipment to be installed in the drying and processing facility.

[0013] Paddy tank 3, which temporarily stores dried paddy and enables continuous hulling work Sorting machine 4 passes brown rice through a sorting net to separate grains based on particle size, such as immature grains.

[0014] Color sorting machine 5 separates the color of the sorted brown rice to remove foreign matter.

[0015] Grain Taste Meter (registered trademark) 6 evaluates the taste of brown rice by optical spectroscopy.

[0016] Brown rice tank 7 is where sorted brown rice is temporarily stored.

[0017] A rice polisher 8 separates the bran from the surface of brown rice to produce white rice.

[0018] A conveying device 9, a bagging machine 10, and a weighing device 11 connect each machine.

[0019] Offline controller 21 for communicating data with the dryer controller An offline controller 22 that communicates data with the controller of the rice huller An offline controller 23 that communicates data from the color sorter and the taste meter (registered trademark) Offline controller 24 that communicates data with the rice milling machine controller The intermediate terminals that receive data from each offline controller include an intermediate terminal 31 for the dryer, an intermediate terminal 32 for the rice huller, an intermediate terminal 33 for the rice polisher, and an intermediate terminal 34 for data from mobile machines such as tractors.

[0020] It also has a central terminal 36 that manages and stores data from these intermediate terminals and transmits and receives data to and from an external data management device 35, and a communication device 38 that communicates wirelessly with the user's mobile terminal 37. This is the system configuration and management of mutual data between each piece of equipment in a drying and processing facility that has some or all of these devices.

[0021] Furthermore, as shown in Figure 4, when grain is delivered to a drying and processing facility, a container 41 that stores grain 40, a container number 42 that identifies the delivery, and data 45 from a device that automatically identifies the number from video of the delivery vehicle 43's vehicle number 44 are combined with the time of delivery 46 to create a delivery number 47. This delivery number 47 is supplemented with data on the drying operation of the dryer and data on the preparation operation of the processing machine after drying in the dryer (in this invention, this corresponds to the rice huller, sorter, color sorter, Taste Meter (registered trademark), and rice polisher), and the acquired data is added and registered in chronological order as a management data group, and this management data group is used to manage the grain data for each container.

[0022] The automatic generation of numbers for identifying received grains according to the present invention will now be described.

[0023] An image of a container 41 loaded onto a delivery vehicle 43, or an image of a delivery vehicle 43 with a flexible conveyor, is registered, and when an object similar to this image is confirmed, the receiving number search system in the central terminal 36 is activated. The user is guided to the dryer 1 selected by an audio device in the facility. A camera 1G installed in the dryer elevator 1E reads the container number 42 and the transport vehicle number 45. The system also combines this time of receipt 46 to create a receiving number 47, and the subsequent drying and preparation data is registered in chronological order to the automatically created receiving number 47.

[0024] For example, if the container number is 111, the vehicle number is 1212, and the time of receipt is 1:00 p.m. on September 1, 2021 (202109011300), the number 1111212202109011300 will be automatically created.

[0025] Container numbers 42 are individually assigned to containers 41 and receiving flexible containers, and can be identified using an image-based number recognition system or QR codes (registered trademark). User names are pre-registered for the vehicle number 45 of the transport vehicle 43, and a system is provided to verify user names during number recognition and accept changes to registered data if there are any errors in receiving the goods. Such data changes require manual input. If automatic recognition is not possible, users can manually create receiving numbers 47 by searching for their own name on the central terminal 36 and reading pre-registered work process data 36A for verification. Alternatively, the container number 42 can be a user number, and a card number can be read using a card reader.

[0026] The utilization of the registered work process data 36 of the present invention will be described.

[0027] The central terminal 36 of the drying and processing facility stores the receiving number 47 and user information in work process data 36A, which also stores past work data. By comparing the data with this past work data, it is possible to analyze the differences and analyze the state of the grain for this year at an early stage.

[0028] Figure 8 illustrates an example of how the work process data 36A is used. The basic work flow, including the past work process flow for receiving number 47, the selection and settings of the dryer, whether to combine or hull the rice individually, and whether to mill the rice, is registered. Automatic selection allows for this route to be followed. However, if the grain quality is poor, shipping the rice earlier as traded rice may result in a better price. This example illustrates a slightly poor grain quality situation, where the work process was changed from individual brown rice shipments. For example, if the initial moisture content of last year's loading was 20%, but this year's is 25% and the receiving period is similar, it is possible to immediately predict that the incoming grain will be treated as high-moisture, which will require additional fuel costs for drying, and that there may be a high amount of green rice, leading to a lower quality assessment. This early determination allows for the shipping method to be changed before hulling. By registering the work flow in the work process data 36A, the optimal flow can be achieved from receiving the rice to bagging the brown rice and milling it. In particular, if the process is tailored to match basic data such as drying speed, finished moisture content, containers that can be mixed, hulling size and degree of sorting, and evaluation using a taste meter (registered trademark), the work can be done unmanned.

[0029] The use of imaging data according to the present invention will now be described.

[0030] Once the receipt confirmation is complete, safety sensors and other devices are checked and the loading operation begins automatically. Camera 1G captures the state of the grain being loaded into the dryer's loading hopper. The system has the function of continuously capturing images of the state of the grain as it is being loaded and estimating the amount of green rice by distinguishing between the images. The amount of green rice from past image data is registered in work process data 36A, and by comparing this image with past grain data, it is possible to estimate the unit price of the grain at the time of loading, as shown in the flow in Figure 8.

[0031] Camera 1G can also confirm that a vehicle has left, and it is possible to set a procedure to automatically switch to ventilation mode after a specified time has elapsed. If a dryer has automatically switched to ventilation mode, if camera IG detects a vehicle again, ventilation mode will stop and the dryer will switch to loading mode.

[0032] Weight is measured for each container. Each dryer is equipped with a weight measuring device 1H, which makes it possible to calculate the additional amount each time loading is completed, and the weight is registered chronologically for each load. The camera IG calculates an estimated loading amount based on the size and loading state of the container, and compares this with the weight measured by the dryer weighing scale, preventing problems when loading.

[0033] If the camera 1G has the function to confirm the user's face, it can also have a function to verify data using facial recognition. The user's face is registered in advance, and if the user can be confirmed, it is possible to manually stop the dryer and start drying. When operating automatically, all settings except for the loading amount are set using registered data. The loading amount setting, which determines the drying temperature, is set by automatic measurement using the weight measuring device 1H, but if the amount is unknown, it will start with a medium amount setting and be corrected by controlling the drying speed.

[0034] Camera 1G on dryer elevator 1E periodically takes images during drying and automatically registers them in receiving number 47, helping to prevent equipment trouble and theft during unmanned operation. Camera 2B takes images of the spread of brown rice on the sorting plate of the rice huller, and in addition to controlling the tilt of the sorting plate, the system also determines the amount of green rice contained in the image, which is used as data to estimate the quality of the grains; the image data and the estimated amount of green rice from the image are automatically registered in receiving number 47.

[0035] The drying data transfer and management system of the present invention will now be described.

[0036] Each dryer is equipped with an offline controller 21, and each dryer with multiple units is assigned its own offline controller number. Taking into consideration data management across regions and the fact that dryers may be manufactured by different manufacturers, UUID (Universally Unique Identifier) ​​numbers are used.

[0037] For example, a unique number can be created by combining the manufacturer's number with the model number, serial number, and offline controller number. This model number is assigned in a similar way to machines other than dryers, such as rice hullers, sorters, brown rice tanks, color sorters, and taste meters (registered trademark), and because it is a unique number when using data through an open API (application programming interface), there will be no duplication in model data, etc.

[0038] Data from the dryer's offline controller 21 is collected by intermediate terminal 31 via Bluetooth (registered trademark). The intermediate terminal is configured to automatically distribute dryer data to mobile terminal 37 periodically, when an abnormality occurs, and when drying begins and ends. The distribution content can be selected depending on the terminal, and video data from cameras installed within the facility or on each machine can also be distributed. Intermediate terminal 31 is connected to control terminal 36 via wire or wirelessly such as Wi-Fi, and can also check data from other intermediate terminals 32, 33, and 34. By using the same communication method as intermediate terminal 31, intermediate terminals 32, 33, and 34 can also perform comparative analysis with pre-registered work process data 36A using control terminal 36.

[0039] Safety management during drying is based on safety sensors installed on each machine. Data on individual machine abnormalities is sent from intermediate terminals 32, 33, and 34 to mobile terminal 37, but data on power supply abnormalities or abnormalities affecting the entire facility may be sent to mobile terminal 37 via central terminal 36. For example, the facility is equipped with a device that measures the air pressure difference. If the pressure inside the facility drops below a predetermined value, it is determined that there is an air shortage throughout the facility, and drying is stopped sequentially, starting with the dryers with the lowest moisture content. The system has functions such as stopping the dryers sequentially and reactivating the operation of the dryers when the pressure exceeds a reference value. Automatically responding to issues such as clogged ventilation ducts, the system simultaneously sends information immediately to mobile terminal 37, enabling response to abnormalities.

[0040] When the dryer reaches the set moisture content, it automatically stops. The discharge destination is determined based on pre-registered work process data 36A, and a sensor checks that there is no grain in the discharge destination, automatically discharging the grain after drying is complete.

[0041] The content of analyzing the management data group for the consignment number 47 and the work process data 36A according to the present invention will be described.

[0042] In the drying and preparation system, in the processes from drying to hulling and sorting and rice polishing, the system checks the pre-registered work process data 36A against the user's container or the flexible conveyor's container number 42, vehicle number 45, and goods receiving time 46 to create a goods receiving number 47, and the work process data 36A, and has the function of automatically selecting the work process for this goods receiving.

[0043] In the automatic control of the dryer's receiving operation, multiple containers are mixed into one dryer, so automatic management of the order of the containers is required. If the pre-registered work process data 36A indicates that the same dryer will receive the same container number 42 and vehicle number 45, an audio device within the facility will guide the users to receive the containers into the same dryer at the receiving stage. Also, if the dryer is capable of using the empty tank of one of the dryers to perform mixed drying, automatic control of mixed drying can be achieved by registering the received weight and moisture content in the receiving number 47.

[0044] When the drying is nearing completion and the completion times of multiple dryers are estimated, the order in which the rice is loaded into the rice huller 2 and the rice tank 3 for hulling is also carried out in the order registered in the work process data 36A. The work process data 36A determines which loads are given priority, and even if it is estimated that the drying will finish later in the actual work flow, the work process data 36A is given priority and the rice is discharged from the dryer according to that process. However, it is also possible to prioritize actual work, and if the setting is such that the order is changed based on the drying completion order, the system is automatically controlled to discharge the rice in the order in which the drying is completed. In many cases where there are multiple dryers 1 and fewer rice hullers 2, automating this order makes it possible to operate unmanned and save labor.

[0045] It is also possible to automatically create a group collection by grouping together the dried rice grains that can be mixed together without any problems, and then determine the order of feeding the rice huller 2 based on the order in which the groups are finished. When automatically creating groups, if a large group is formed, hulling can be done at night, and automatic control can be used to change the process to rice tank 3 → huller 2, sorter 4 → brown rice tank 7. Also, when small groups are grouped together, automatic control can be used to forgo discharge to the brown rice tank and select the bagging process during the day, and control can be implemented that incorporates an artificial intelligence function that automatically selects the priority of the registered work process data 36A based on work efficiency.

[0046] The overall work process for the facility is sent by email from the control terminal 36 to the mobile terminal 37, and the system also has a function that allows the system to start operation only after obtaining the user's approval. In particular, if a low-priority item from the pre-registered work process data 36A is selected, the system will not perform the work automatically without the user's approval, which can prevent problems with the automatic operation. This function also allows the user to return to the facility in time for the bagging of the brown rice, and can save labor by sending the estimated time of completion and discharge of each drying step, as well as the operating status of the rice huller, and allowing user approval to be obtained externally.

[0047] In this way, by automatically analyzing the management data group and the data of the work process 36A, it is possible to optimize work and reduce labor.

[0048] Data transfer system for rice hullers to mobile devices The technology of a system that transmits drying data from a dryer to a mobile terminal is widely known, but in the case of the rice huller 2, in which a sorter 3 is connected after the huller, the data from the sorter 3 is taken in by an offline controller provided in the rice huller 2 and sent to an intermediate terminal 32 using Bluetooth. Information on the huller and sorter is sent by email from the intermediate terminal 32 to a mobile terminal 37 periodically, at the start and end of work, or in the event of an emergency. The intermediate terminal 32 also communicates with a general terminal 36, and data on hulling and sorting is transferred to the general terminal 36 and registered there. Typical examples of data include the following: Initial voltage readings and start and end times of threshing ·Efficiency per given time Cumulative processing volume -Setting values ​​for sorting plate angle and wind speed Send error information The data for these hullers is registered under receiving number 47.

[0049] In terms of data utilization, by checking the efficiency at specified times, adjustments such as the supply volume of the rice huller can be made remotely. Error information can be sent or not depending on the type of error, and in the case of an error with a high degree of urgency, the information is sent immediately to the mobile terminal 37. The sorter 4 and rice tank 3 are linked to the rice huller 2 and can be configured as either wired or wireless, and this information is taken in as data for the rice huller. The sorter 4 is positioned as a measuring device for the rice huller 2, and the efficiency of the sorter is registered as the performance of the rice huller. The amount of immature rice is also measured by weight, and the weight ratio to the sieved rice is used as hulling data.

[0050] The grain quality evaluation using the amount of green rice produced by the rice huller of the present invention will be described.

[0051] As shown in Figure 5, one method is to install a camera 2B to check the state of the sorting plate 2A of the rice huller and detect the area of ​​green rice on the sorting plate 2A. The green rice content is estimated and calculated from the area of ​​green rice. Because the amount of immature rice mentioned above correlates with the amount of green rice, in a configuration where the weight of immature rice is not measured, it is possible to calculate the estimated amount of immature rice from this video data. By comparing this amount of green rice with past data in the work process data 36A, the unit price of the grain can be estimated based on the relationship between the past amount of green rice and the unit price of the grain. This makes it possible to estimate the grain quality at the hulling stage, enabling evaluation responses such as those shown in Figure 8.

[0052] In large facilities, multiple hullers may be installed, and in drying and processing systems, the hulling process often determines the flow, so there are also automatic control methods that change the order in which finished grain is discharged from the dryer to match the huller's work process.For example, if there are multiple receiving users, they would normally use different hullers in the order in which the drying process is completed, but if there is a need to expedite shipment for a specific user, it is possible to use multiple hullers and change the process to distribute and hull the grain received by that user.

[0053] If a system is installed that uses a sensor to check whether there are any rice grains in the rice huller tank 3 and sends information from the rice huller's offline controller 22 to the rice huller's intermediate terminal 32, the rice grains can be automatically discharged after drying and harvesting.In addition, since the receiving number 47 in the rice huller is clear, there are no problems with mixing, and if there are any changes to the process, it can easily be changed automatically from the general terminal 36.

[0054] We will explain how to score hulling efficiency.

[0055] Hulling efficiency is converted into data as an indicator of quality. This system determines how high the current efficiency is relative to the basic efficiency of each machine. For example, if a machine's basic efficiency is 40 bales per hour, and the actual hulling efficiency is 44 bales per hour, this represents a 10% improvement in performance. The indicators set are -15% or less is poor, -15 to 10% is slightly poor, -9 to +4 is standard, +5 to 7% is slightly good, and 8% or more is good; in this example, it is judged to be good. At the same time, if the rice is easy to hull, there is little moisture difference, little roughness on the grain surface, and few immature grains, which suggests that the quality is good.

[0056] These evaluations also require corrections. Some varieties are easier to hull than others. In data analysis, one method of evaluating hulling performance is to set a standard for each variety and apply a correction factor for each variety to the actual performance. A correction factor of 98% is set for varieties that are easy to hull, and 102% for varieties that are difficult to hull.

[0057] There is also a method of evaluating efficiency by setting regional standards and applying a correction factor to the actual performance. This is due to differences in water temperature and soil, and is corrected as an index other than the variety.

[0058] Another method is to set standards based on harvest time and apply a correction factor to the actual performance to evaluate efficiency. Early rice has a large moisture difference, so efficiency often does not increase, so the correction factor is higher for rice harvested earlier.

[0059] There is a method to evaluate grains by setting a standard grain temperature for rice and applying a correction factor based on this grain temperature to the actual performance. If the grain temperature is high, the surface will be soft and there will be a high possibility of the skin slipping. For this reason, work efficiency may be reduced, and corrections will be made based on a lower efficiency.

[0060] When evaluating grains, the evaluation will be more informative if the brown rice Taste Meter (registered trademark) evaluation score is taken into account, along with the hulling efficiency score mentioned above.

[0061] The method for scoring green rice will be explained.

[0062] When loading rice into the dryer 1, moisture meter 1F continuously measures the rice to detect moisture variations. There is a standard moisture deviation, and rice that exceeds the upper deviation of a specified value is treated as green rice. This is an evaluation method that weights both the green rice evaluation from moisture meter 1F and the green rice evaluation from the container image to evaluate the green rice content. There are "high moisture content but with some grain" and "high moisture content without some grain." If there is a large amount of green rice in the container image and a low amount in the dryer moisture value, it is determined that there is a lot of immature grain, and the evaluation score is lowered. Conversely, if there is a large amount of green rice in the container image and a high amount in the dryer moisture value, it is assumed that there is a lot of green rice with some grain, and the evaluation score is not lowered significantly.

[0063] The following describes how to convert data into common information processing data according to the present invention.

[0064] Conversion to common information processing data means data that is compatible with an open API (application programming interface).

[0065] When it comes to facility-related equipment, there are machines from various companies, and even if they are from the same manufacturer, the data format and data array emitted from the controller differ depending on the model and production date, making it difficult to convert data using the same reading software.In this article, we will explain open API data that is supported as common data and how to process data that is not supported.

[0066] The data released as common data is a CSV data file, as shown in Figure 6, with its data items and arrangement clearly defined. Therefore, the intermediate terminal 31 or the control terminal 36 uses dedicated software to extract specific data from the CSV file and automatically format it by item and arrangement. Some machines also have dedicated reading software that outputs CSV data, so it is possible to extract specific data from this data and format it using dedicated software.

[0067] This data is output unilaterally from each machine, and is not processed bidirectionally. It is what is known as continuous data. Therefore, a dedicated software system is required on the receiving side to capture the data each time it is sent, format it, and register it with a time stamp.

[0068] This stamp automatically stamps the time into the data for receipt number 47, allowing users to add and register text data. While dedicated software is typically used to create a CSV data file after data acquisition is complete, the facility's work processes have long cycle times and require side-by-side analysis of data from multiple machines, requiring users to write data into the acquired data in real time. The stamp function can also be implemented as a read file and a registered file, utilizing existing technology for processing electronic data. It is also possible to pre-register several types of text data as stamps and easily select and stamp them. Examples include stamps for "Good," "Grain Problems," "Machine Problems," "Data Verification Required," and "Work Slightly Delayed." If the user does not respond within the specified time, the system simply automatically stamps the acquired data. In addition to CSV data, the system also includes video data from cameras installed on dryers and hullers. The stamp function also includes the ability to simultaneously register video related to the acquisition time. For both data, open API information is registered in the receiving number 47, so that data processing can be carried out across manufacturers and data management can be performed at the central terminal 36.

[0069] The processing of data that has not been converted into common information processing data according to the present invention will be described.

[0070] These are broadly divided into two categories: those that are not open API-enabled, such as item A in Figure 7, which are output in CSV format but the data items and data order are unknown, and those that can only be extracted using the data log, such as item B. Both are difficult to process using dedicated software. However, this data can be deciphered by each machine manufacturer. Therefore, as a safety measure, even if the data content is unknown at the time, the relevant data is acquired, automatically time-stamped, and registered. This allows the manufacturer to decipher the relevant CSV data and data log and identify the problem if a malfunction occurs later. Registering both types of data in the receiving number 47 in its original format, even if the information is not open API-enabled, has the advantage of allowing data management on the central terminal 36 and easy retrieval when the data needs to be verified.

[0071] This function can be used not only for data management in drying and processing facilities, but also for data processing of mobile machines such as tractors, rice transplanters, combine harvesters, and cultivators. Data can be retrieved from the mobile machine's intermediate terminal 34. However, data integration becomes even more difficult when different models are used. In such cases, the present invention allows data that is not yet open API-enabled to be imported and linked to the receiving number 47 for retrieval, which will prove useful later. Because the system can retrieve machine data from the final grain product, if the grain is of poor quality, all related machine data can be retrieved and analyzed from machine data for tillage, plowing, seedling raising, planting, fertilizing, disinfection, harvesting, drying, hulling, and other operations. Many farming groups also manage other machinery and data at their drying and processing facilities, making this possible as part of the data management of the drying and processing facilities.

[0072] We will explain agricultural management at the drying and processing facility.

[0073] This section explains a system that uses the farming software 36B to read and record data in chronological order for various types of agricultural machinery equipped with controllers and the aforementioned function of recording machine operation as a data log. This function allows the management of various types of agricultural machinery using the drying and processing facilities. Agricultural machinery comes from different manufacturers and comes in both old and new models, making it difficult to share data. However, by recording the data logs of each machine, this can sometimes provide a starting point for solving problems when they occur, and allows for management at the drying and processing facilities as part of farm management. This allows the problem to be identified from the quality of the grain that is the final product, making it possible to consider countermeasures for the following year.

[0074] The fixed drying and processing facility provides an environment where it is easy to check the distance from the field. Each mobile device is equipped with a GPS, making it easy to check its location. However, individual mobile devices cannot analyze or manage much data, including that of other mobile devices. Therefore, by distributing the necessary data from a central drying and processing facility, it is possible to promote the streamlining of work. In the farm management software 36B, data is accumulated in a system that allows users to manage product information. Data such as "time and field location of rice planting," "time and field location of disinfection last year," "time and field location of harvesting," and "time and field location of drying" are matched with the current year's date to confirm there are no delays in implementation, and by sending this data to a mobile terminal 37, it is possible to identify missed tasks by workers and respond to grain producers.

[0075] By using information from the agricultural data sharing platform "WAGRI" and artificial intelligence, if the initial process such as rice planting is delayed, it is possible to calculate how to revise plans, including drying and processing, if subsequent processes are delayed, and it is also possible to anticipate risks. For example, if data analysis shows that weather and other conditions are the same as usual, and rice planting is delayed but harvesting needs to be at the same time as usual, AI can estimate the yield based on the accumulated evaluation information of each past user. - When the rice is delivered, it will have a high moisture content, so how much will the cost of kerosene increase during drying? - Estimate the increase in green rice, what will be the hulling yield, and how much loss will there be compared to normal years? What is the taste value? It is also possible to calculate information such as the above and provide an estimated evaluation.

[0076] The amount to be paid to users can also be calculated based on the standard output amount, and farm management can be managed by calculating an estimate of the amount to be paid to users at an early stage based on annual data.

[0077] The application to field data evaluation will be explained.

[0078] The registered consignment number 47 is linked to the work process data 36 and is also managed as field data. The field data links the amount of agricultural produce produced with data on the production materials involved, such as seedlings, fertilizer amounts, disinfection costs, labor costs, transportation costs, and fuel costs. From this, it is possible to calculate the production cost per person, and the profits made by each person and each field.

[0079] Separately, profits for each user will also be calculated. Profits can be calculated for each item: producer, facility manager, and field. By comparing these calculated data with the manufacturer's management data, etc., differences from the national level can be confirmed, and a data management system will be built that can submit appropriate indicators as a data manager.

[0080] When managing revenue data for each field, it is possible to calculate whether the cause is poor grain quality, poor conditions such as weather, poor management by people, or poor efficiency of agricultural machinery. Items that cannot be controlled, such as poor weather or poor grain quality, are removed, and items that can be improved by people or machinery are selected, and the data is displayed as improvement suggestions.

[0081] A multiple deployment of dry preparation is illustrated in FIG.

[0082] The dryers described above are equipped with video cameras and weight measurement functions, and installing these functions in all dryers would be expensive equipment. Therefore, we will explain how to create a cheaper system in which dryers are installed according to their functions.

[0083] The primary dryer is equipped with camera 1G and weighing scale 1H and is used primarily for receiving loads. The secondary dryer is a semi-drying dryer that dries loads to an intermediate moisture level. The tertiary dryer is a main drying dryer that completely dries loads. The second and third dryers are not equipped with camera 1G and weighing scale 1H, but they do have offline controller 21, which allows data communication. In this facility, the weight of the load can be measured, but the finished weight data at the end of drying cannot be measured. The finished weight data at the end of drying is calculated from the moisture change measured by the dryer's moisture meter 1F and the initial weight.

[0084] Each dryer can be operated from the central terminal 36, but in the case of errors between them, accidents are prevented by sending the error directly to the linked dryer. In the event of an abnormality in the transport of grain between the dryers, both dryers are automatically brought to an emergency stop, and as an immediate response to the abnormality, the abnormality data sent to the central terminal 36 and intermediate terminals 31, 32, and 33 is also sent to the user's mobile terminal 37.

[0085] The automatic recovery function for transport errors allows the user to operate the device from their mobile device and retry if there is an abnormality in the shutter opening or closing, such as the discharge shutter not opening. Also, if a motor overload or paddy jam is detected, rather than an abnormality in the shutter opening or closing, such as the discharge shutter not opening, the device will automatically close the discharge shutter. The user's mobile device will be notified whether it is possible to switch from discharge to loading, and if permitted, the device will automatically switch to loading mode. If the discharge or loading operation is changed remotely, the dryer's abnormal buzzer will sound to warn the worker on site.

[0086] When a dryer's conveying system becomes clogged in discharge mode and can be restored in loading mode, it is possible that the conveying system is experiencing insufficient capacity or that the electrical system has deteriorated. In this case, the conveying capacity must be changed. This can be addressed by changing the discharge capacity automatically or remotely.

[0087] In terms of number and capacity, the number of dryers for the tertiary receiver should be the same as or greater than that for the secondary receiver. The capacity of the tertiary receiver dryer should be the same as or less than that of the secondary receiver dryer. The primary dryer allows for high-speed circulation and high-speed discharge, and removes muddy dust, surface moisture, and dregs during one circulation. It is also possible to link with a Taste Meter (registered trademark) to determine the taste of the initial sample. Once the taste analysis is completed in this primary dryer, the product is automatically transported to the secondary dryer and sorted. Distribution to the secondary dryer is based on "distribution by moisture" and "protein content as measured by the Taste Meter (registered trademark)."

[0088] In secondary drying, the grain is dried semi-drying until the tertiary dryer is empty and ready to be loaded, or until the moisture content drops below a specified value. If the tertiary dryer is not available, the grain is dried in the secondary dryer until it is empty. Another method is to perform finish drying in the secondary dryer and use the tertiary dryer as a cooling tank. In this case, the tertiary dryer is effectively utilized, and the grain is controlled to circulate without ventilation. In a cooling system using a tertiary dryer, the grain temperature can be measured, and this temperature is displayed, and the circulation operation stops when the specified temperature is reached.

[0089] We will explain how to import data from the agricultural data collaboration platform "WAGRI."

[0090] In the data management of the drying and processing system described above, by importing external data and registering additional data within the facility, it is possible to build agricultural management data with an even larger amount of information. This is shown in Figure 2.

[0091] External data includes the aforementioned agricultural data exchange platform "WAGRI" 61. The WAGRI 61 platform has databases for weather information, farmland information, map information, growth forecasts, soil information, etc., and past data can also be searched. This data is provided in the form of an application programming interface (API). Data can be imported and exchanged using a read / conversion application that is compatible with these data formats and data arrays. This data conversion and mutual use of data can also be handled by ICT vendors 62, 63, 64.

[0092] For example, the drying and processing facility 71 is a facility that performs operations from drying to polishing rice. The drying and processing facility 72 is a facility that performs operations from drying to hulling, but is also a comprehensive farming facility that performs all rice cultivation operations, such as land preparation, rice planting, and harvesting. Figure 2 shows how information is being taken in from tractors 72A and 72B.

[0093] Both facilities send shared data to WAGRI 61 via cloud server 121. Although it is defined as a cloud server in Figures 2 and 3, it is an external data management unit, and it can also be a rental server from a telecommunications company or a server from an agricultural machinery manufacturer.

[0094] Registered users can access this shared external data through programs provided by ICT vendors 62, 63, and 64. This allows facility 71 to obtain general information on everything from tilling to harvesting. Facility 72 can also obtain rice milling data and rice sales data. User terminals 66, 67, 68, and 69 can access all data from each facility's control terminal, but can also utilize common data from the ICT vendors.

[0095] In the meteorological and farmland information initiative, information such as outside temperature, humidity, and weather is obtained from WAGRI61 and the data is registered under consignment number 47. Because this data is highly reliable, registering it as data obtained from WAGRI61 in the consignment data results in products with high market value. This data can also be used as background data at the time of sale. Furthermore, since meteorological information can vary over small areas, users can also change it. In this case, a system is required to approve and confirm with the relevant members. Even if the weather data shows sunny weather at the time of harvest, it may rain around the field, and these differences are confirmed with multiple members before the data is registered.

[0096] Additionally, on-site facility data includes information on materials. Seedlings, fertilizer, disinfectant, transportation costs, and fuel costs are items that managers must enter, but by registering this data as shared data within the facility and having a system for external data confirmation and approval, safe operation can be ensured. When working over a larger area, it is also possible to use WAGRI's database to manage and approve material costs.

[0097] Since material information is the total cost of each material, the total cost is automatically allocated based on the size of the field. Alternatively, it can be automatically allocated based on the grain yield, and this is also done within the approval system. Regarding labor costs, tractors, rice transplanters, and combine harvesters are equipped with GPS, so their relative locations and working hours are clearly visible. Material costs and labor costs for each field are allocated based on the working hour data, and calculated as the production material cost for each field. By utilizing this data, it is also possible to detect fields that require a long working time per unit area and calculate worker work efficiency.

[0098] The authentication system of the present invention will be described with reference to FIG.

[0099] A simple authentication system 101 is set up in the control terminal 36 that manages facility data. A user logs in 103 from their mobile terminal 102 to check whether the terminal is capable of communication with the telecommunications company. This login information becomes authentication verification 104 and is verified against the authentication system 101. Unless verification is successful, operations such as reading or rewriting data from the mobile terminal 102 are not possible. If authentication is confirmed, authentication of the mobile terminal 102 is completed in authentication verification 105, and acceptance of a data request 106 is permitted. The control terminal 36 searches for the request data and transmits 107 the request data. By transmitting and receiving this data, the mobile terminal 102 can read and write data from the control terminal 36 from outside.

[0100] The data that is periodically transmitted in advance by the drying and preparing system is transmitted from the integrated data in the periodic abnormality data transmission 108. The periodic data is also transmitted from the intermediate terminal 31, but this data is integrated periodic data that includes data from the rice huller, rice polisher, etc. This data is transmitted by email to the mobile terminal 102 by the communication company 111 in the periodic abnormality data transmission 109.

[0101] Next, we will explain how to read and write the shared data mentioned above. The shared data is registered on a cloud server 121. This cloud server 121 may be a server owned by an agricultural machinery manufacturer that registers shared data of users' agricultural machinery information, or a rental server rented out to users by a telecommunications company. This server is equipped with an authentication system. One example of such a system is the OAuth system. The OAuth system 122 is a system that performs authentication using a simple password system, and the equivalent of issuing this password is to use a token.

[0102] To confirm the authentication, a token is issued 124. The telecommunications company is equipped with authentication confirmation 123, which executes token authentication 125 and token storage, and performs cloud access authentication work 128 on the user's mobile terminal 102. For authentication confirmation, the user inputs information on a user interface 127 screen. If the telecommunications company can confirm the information input, it grants the stored token 126, authenticates the issued token to the OAuth system 122 in token confirmation 129, and issues a data issuance instruction 131. Only when this authentication is successful can it be possible to read and write data on the cloud server and update important data on the general terminal 38.

[0103] Once authentication is complete, the cloud server is accessed via shared data requests 143 and 144. If these tasks simply involve searching for data, the data is sent to the mobile device 102 via request transmissions 145 and 146. However, as described above, the administrator must input changes to local weather data, seedling, fertilizer, disinfectant, transportation costs, and fuel costs. If this data is registered as shared data within the facility and approved through external data confirmation, the request transmission flow is 149, corresponding to the reading and writing of data by the supervisory terminal 36. The changed data is again verified against the cloud server via shared data requests 150 and 144, and the information is sent to the mobile device via request data transmissions 145 and 146. This series of cloud accesses is also sent to other mobile devices, where information is shared among members, and advance notice is given of the registration and changes of shared data. After that, other devices each enter the authentication system, confirm the changes on the cloud server, and approve them, allowing the registration and changes of shared data to be made. [Explanation of symbols]

[0104] 1 Dryer 1G camera (dryer receiving) 2. Rice huller 2A Sorting Board 2B camera (huller sorting board) 31 Intermediate terminal 29 Moisture meter 31 Outside air temperature sensor 36 Control terminal 36A Work Process Data 42 Container Number 47 Receipt number 61 WAGRI 121 Cloud Server 122 Authentication System OAuth Token Issuance

Claims

1. reading a container number provided on a container that contains the received grain, and creating a receiving number by combining the container number with the time when the container was received; The data of the drying operation by the dryer is additionally registered in chronological order to the receiving number to be used as a data group for management. The management data group is used to manage data on the grain for each container, The data log output from the controller of the dryer as the drying operation data is read using data log reading software. A grain drying system characterized in that the drying operation data in the form of the data log is additionally registered to the consignment number to generate a management data group.

2. 2. The grain drying system according to claim 1, wherein the drying operation data is converted into common information processing data and registered in chronological order with the consignment number to generate a management data group.

3. The authentication system for registering the management data group is placed on both the cloud server (121), which is an external server on the Internet, and the dryer's control terminal (36), The authentication of the user terminals (103), (104), (105) and the transmission of the dryer's periodic data (108), (109) are performed by the control terminal (36). When newly acquired shared data for each time series of the receipt number is registered in the external server, the authentication system (122) of the external server is activated, and if the data is authenticated, the control terminal (36) sends a request data transmission (107) to the user terminal, The grain drying system according to claim 1 or 2, characterized in that at the same time (150), (144) an external server is accessed and a request for shared data is sent to other terminals (145), (146) to share the information.

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